Paper Info
Title
Landmark-Based Pedestrian Navigation with Enhanced Spatial Reasoning
Abstract
Computer vision techniques can enhance landmark-based navigation by better utilizing online photo collections. We use spatial reasoning to compute camera poses, which are then registered to the world using GPS information extracted from the image tags. Computed camera pose is used to augment the images with navigational arrows that fit the environment. We develop a system to use high-level reasoning to influence the selection of landmarks along a navigation path, and lower-level reasoning to select appropriate images of those landmarks. We also utilize an image matching pipeline based on robust local descriptors to give users of the system the ability to capture an image and receive navigational instructions overlaid on their current context. These enhancements to our previous navigation system produce a more natural navigation plan and more understandable images in a fully automatic way.
Year
DOI
Venue
2009
10.1007/978-3-642-01516-8_6
Pervasive
Keywords
Field
DocType
landmark-based pedestrian navigation,high-level reasoning,landmark-based navigation,lower-level reasoning,natural navigation plan,understandable image,enhanced spatial reasoning,spatial reasoning,image tag,navigation path,appropriate image,previous navigation system,information extraction,computer vision
Computer vision,Spatial intelligence,Computer science,Image matching,Pedestrian navigation,Navigation system,Turn-by-turn navigation,Artificial intelligence,Global Positioning System,Mobile robot navigation,Landmark
Conference
Volume
ISSN
Citations 
5538
0302-9743
29
PageRank 
References 
Authors
1.70
16
6
Name
Order
Citations
PageRank
Harlan Hile120114.79
Radek Grzeszczuk22562204.55
Alan Liu3291.70
Ramakrishna Vedantham435917.15
Jana Kosecká51523129.85
Gaetano Borriello66050777.11